References in zbMATH (referenced in 28 articles , 1 standard article )

1. Bauer, Martin; Hartman, Emmanuel; Klassen, Eric: The square root normal field distance and unbalanced optimal transport (2022)
2. Campbell, Steven; Leonard Wong, Ting-Kam: Functional portfolio optimization in stochastic portfolio theory (2022)
3. Gao, Yihang; Ng, Michael K.: Wasserstein generative adversarial uncertainty quantification in physics-informed neural networks (2022)
4. Allaire, Frédéric; Mallet, Vivien; Filippi, Jean-Baptiste: Novel method for a posteriori uncertainty quantification in wildland fire spread simulation (2021)
5. Biau, Gérard; Sangnier, Maxime; Tanielian, Ugo: Some theoretical insights into Wasserstein GANs (2021)
6. Burger, Martin; Kreusser, Lisa Maria; Totzeck, Claudia: Mean-field optimal control for biological pattern formation (2021)
7. Catalano, Marta; Lijoi, Antonio; Prünster, Igor: Measuring dependence in the Wasserstein distance for Bayesian nonparametric models (2021)
8. Divol, Vincent; Lacombe, Théo: Understanding the topology and the geometry of the space of persistence diagrams via optimal partial transport (2021)
9. Flamary, Rémi; Courty, Nicolas; Gramfort, Alexandre; Alaya, Mokhtar Z.; Boisbunon, Aurélie; Chambon, Stanislas; Chapel, Laetitia; Corenflos, Adrien; Fatras, Kilian; Fournier, Nemo; Gautheron, Léo; Gayraud, Nathalie T. H.; Janati, Hicham; Rakotomamonjy, Alain; Redko, Ievgen; Rolet, Antoine; Schutz, Antony; Seguy, Vivien; Sutherland, Danica J.; Tavenard, Romain; Tong, Alexander; Vayer, Titouan: POT: Python optimal transport (2021)
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15. Auricchio, Gennaro; Codegoni, Andrea; Gualandi, Stefano; Toscani, Giuseppe; Veneroni, Marco: The equivalence of Fourier-based and Wasserstein metrics on imaging problems (2020)
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